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About the Role

The Software and Platform Architecture Team is seeking a creative and highly skilled AI Lead Architect with deep Subject Matter Expertise in AI governance and implementation. This role will bridge the gap between advanced AI technologies and practical business needs, helping to design, build, and oversee the integration of scalable artificial intelligence systems, including machine learning pipelines and agentic AI workloads, ensuring security, compliance, and alignment with enterprise objectives.

Responsibilities

Establish, lead, and contribute to AI Architecture evolution and governance.
Evaluate AI frameworks, platforms, and tools to recommend optimal build-versus-buy decisions.
Guide foundation model selection aligned with CBC's use cases and infrastructure capabilities.
Lead the architecture of AI applications using large language models (LLMs), machine learning, deep learning, and natural language processing (NLP).
Develop architectural roadmaps for deploying AI initiatives, including generative AI (GenAI), LLMs, and agentic business processes.
Lead the integration of scalable artificial intelligence systems, including machine learning pipelines and agentic AI workloads, ensuring security, compliance, and alignment with overall enterprise objectives.
Monitor emerging AI technologies and assess their business value.
Establish architectural standards for model performance, traceability, data lineage, and privacy compliance.
Understand business requirements and identify AI use cases.
Integrate AI solutions with enterprise applications.
Craft prompts, evaluate outputs, and design automated end-to-end agentic workflows.
Continuously test and refine models to ensure reliability, scalability, and optimal performance in production.
Support continuous monitoring and governance of AI solutions post-deployment.
Lead technical discussions with stakeholders and development teams.
Work with business leaders to define desired outcomes, success metrics, and value drivers for AI initiatives.
Collaborate with ethics and compliance teams to ensure AI initiatives adhere to regulatory requirements and CBC's governance standards.
Mentor technical teams on AI architecture best practices.

Requirements

A Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3-5 years experience in software architecture, cloud architecture, data engineering, or AI solutions.
1-2 years of experience designing enterprise AI or machine learning solutions.
Experience delivering cloud-native AI solutions.
Deep understanding of Machine Learning (ML), Natural Language Processing (NLP), and AI application deployment using languages like Python or R.
Knowledge of AI governance frameworks and responsible AI practices.
Experience with data management systems and MLOps tools (e.g., Kubernetes, Git, model registries).
Exceptional stakeholder management, technical leadership, and ability to evangelize AI adoption internally.
Candidates may be subject to skills and knowledge testing.
A mandatory Criminal record check.
Other background checks may be conducted based on the operational requirements of the position.

Skills

AI governance
AI implementation
Machine learning pipelines
Agentic AI workloads
AWS
Microsoft Azure
Google Cloud
Large language models (LLMs)
Deep learning
Natural language processing (NLP)
Generative AI (GenAI)
Agentic business processes
Model performance
Traceability
Data lineage
Privacy compliance
Python
R
Kubernetes
Git
Model registries
Media technology
Broadcasting technology
Content distribution technology
TOGAF
Zachman
Executive communication
Product management
Regulated industries
Compliance expertise
Multitasking
Problem solving
Leadership
Coaching
Teamwork
Remote team collaboration
Bilingualism (English and French)

Location

Downtown Toronto
Ottawa
Montreal

Work Type

Hybrid
Telework
Contractee Long-Term

Experience Level

3-5 years experience in software architecture, cloud architecture, data engineering, or AI solutions
1-2 years of experience designing enterprise AI or machine learning solutions

Education Level

Bachelor’s degree in Computer Science, Data Science, or a related field
Master’s degree in Computer Science, Data Science, or a related field

Benefits

Four weeks of vacation per year
Work from home opportunities
Competitive total rewards package
Opportunities to work with cutting edge technology
Opportunities for continued learning and professional development
Access to e-learning services
Customized courses
Certification opportunities
Opportunities to become a member of our Employee Resource Groups

About the Company

At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms.
Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.
Technology & Infrastructure (T&I) is the backbone and the future-forward arm of CBC/Radio-Canada.
Our purpose is to constantly innovate to evolve and maintain the Corporation’s technology and infrastructure.
CBC/Radio-Canada has always been a highly regarded pioneer of media technology — not just in Canada but around the world.
Today, we are transforming ourselves into a modern and agile public service media organization.
Technology is the driving force, and we are the team making it happen.

Equal Opportunity

CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity.
We value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada’s public broadcaster.
If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to recruitment@cbc.ca.